MS-Mo-D-38
Minisymposium on Statistical Inference for Constrained Stochastic Dynamical Systems - Part I of II
For Part II, see MS-Mo-E-38

Date: August 10
Time: 13:30--15:30
Room: 302A

(Note: Click title to show the abstract.)

Organizer:
Rempala, Grzegorz (The Ohio State Univ.)
Kurtek, Sebastian (The Ohio State Univ.)

Abstract: With the advent of new data capturing technologies in imaging, genomics, and environmental science, the math modeling community is increasingly facing the challenging issues of proper statistical inference for constrained stochastic dynamical systems. Some typical problems are: models identifiability conditions, methods for combining noisy dynamic observations from multiple scales or technologies, robustness and dimension reduction, quantification of model uncertainty. Since many of the underlying problems cannot be solved analytically, the issues of computational algorithms and practical simulation based inference is also very relevant and requires some theoretical framework. The minisymposium will consist of 2 blocks of 4 presentations each.


MS-Mo-D-38-1
13:30--14:00
Stochastic Epidemic modeling with early stage approximation
Choi, Boseung (Daegu Univ.)
Rempala, Grzegorz (The Ohio State Univ.)


MS-Mo-D-38-2
14:00--14:30
Network geometry and inference in biochemical reaction systems
Casian, Pantea (West Virginia Univ.)


MS-Mo-D-38-3
14:30--15:00
Geometric Approach to Pairwise Bayesian Alignment of Functional Data Using Importance Sampling
Kurtek, Sebastian (The Ohio State Univ.)


MS-Mo-D-38-4
15:00--15:30
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds
Su, Jingyong (Texas Tech Univ.)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA